demo/FacebookDemo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using GraphiPy to extract data from Reddit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from graphipy.graphipy import GraphiPy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create GraphiPy object (default to Pandas)\n",
    "graphipy = GraphiPy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating the Facebook Object\n",
    "\n",
    "GraphiPy's Facebook object needs ACCESS_TOKEN, and ID in order to connect to Facebook's API:\n",
    "- To get ACCESS_TOKEN, login to Reddit and go to https://developers.facebook.com/ and click the \"Add New App\" button at the top right corner of the page.\n",
    "- ACCESS_TOKEN is an opaque string that identifies a user, app, or Page and can be used by the app to make graph API calls.\n",
    "- ID can the facebook user id of anyone who grant the access to your app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The facebook API needs these credentials\n",
    "ACCESS_TOKEN = \"\"\n",
    "ID = \"\"\n",
    "facebook_api_credentials = {\n",
    "    \"access_token\": ACCESS_TOKEN,\n",
    "    \"id\": ID\n",
    "}\n",
    "# create the facebook object\n",
    "facebook = graphipy.get_facebook(facebook_api_credentials)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get an user by id\n",
    "### def fetch_facebook_user_info(graph, id)\n",
    "\n",
    "Types of node returned:\n",
    "- user\n",
    "\n",
    "No edges returned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Every function call modifies the graph that is sent as input\n",
    "# user_graph = graphipy.create_graph(\"pandas\")\n",
    "# facebook.fetch_facebook_user_info(user_graph,facebook_api_credentials['id'])\n",
    "\n",
    "# However, it also returns the graph modified so you can assign it to other variables like so:\n",
    "user_graph = facebook.fetch_facebook_user_info(graphipy.create_graph(),facebook_api_credentials['id'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['user'])\n"
     ]
    }
   ],
   "source": [
    "# To get the list of available nodes\n",
    "# However, there's only one type in this case\n",
    "print(user_graph.get_nodes().keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can get the dataframe from Pandas by specifying the node\n",
    "user_df = user_graph.get_df(\"user\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>name</th>\n",
       "      <th>email</th>\n",
       "      <th>gender</th>\n",
       "      <th>birthday</th>\n",
       "      <th>hometown</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>Vincent Wu</td>\n",
       "      <td>user</td>\n",
       "      <td>Vincent Wu</td>\n",
       "      <td>466637857@qq.com</td>\n",
       "      <td>male</td>\n",
       "      <td>02/24/1996</td>\n",
       "      <td>Guiyang</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                 Id       Label label_attribute        name             email  \\\n",
       "0  1543600752452807  Vincent Wu            user  Vincent Wu  466637857@qq.com   \n",
       "\n",
       "  gender    birthday hometown  \n",
       "0   male  02/24/1996  Guiyang  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                 1543600752452807\n",
       "Label                    Vincent Wu\n",
       "label_attribute                user\n",
       "name                     Vincent Wu\n",
       "email              466637857@qq.com\n",
       "gender                         male\n",
       "birthday                 02/24/1996\n",
       "hometown                    Guiyang\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the attributes of this node\n",
    "user_df.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get posts of an user by id\n",
    "###     def fetch_facebook_user_created_post(graph, id, limit=20)\n",
    "Optional parameters:\n",
    "- limit is the number of posts returned.\n",
    "\n",
    "Types of node returned:\n",
    "- user\n",
    "- post\n",
    "\n",
    "Types of edge returned: \n",
    "-  POSTED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Facebook GraphiPy also supports the ability to get posts from an user\n",
    "user_post_graph = graphipy.create_graph(\"pandas\")\n",
    "facebook.fetch_facebook_user_created_post(user_post_graph,facebook_api_credentials['id'])\n",
    "nodes = user_post_graph.get_nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>created_time</th>\n",
       "      <th>creator_id</th>\n",
       "      <th>message</th>\n",
       "      <th>picture</th>\n",
       "      <th>caption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1543600752452807_1367868580026026</td>\n",
       "      <td>post_1543600752452807_1367868580026026</td>\n",
       "      <td>post</td>\n",
       "      <td>2018-03-01T08:21:18+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1543600752452807_1367858486693702</td>\n",
       "      <td>post_1543600752452807_1367858486693702</td>\n",
       "      <td>post</td>\n",
       "      <td>2018-03-01T07:55:22+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-0/p480x48...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1543600752452807_1367858056693745</td>\n",
       "      <td>post_1543600752452807_1367858056693745</td>\n",
       "      <td>post</td>\n",
       "      <td>2018-03-01T07:54:05+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1543600752452807_731749853637905</td>\n",
       "      <td>post_1543600752452807_731749853637905</td>\n",
       "      <td>post</td>\n",
       "      <td>2016-02-11T22:04:03+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1543600752452807_776344222511801</td>\n",
       "      <td>post_1543600752452807_776344222511801</td>\n",
       "      <td>post</td>\n",
       "      <td>2015-09-30T01:50:06+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1543600752452807_729922700487287</td>\n",
       "      <td>post_1543600752452807_729922700487287</td>\n",
       "      <td>post</td>\n",
       "      <td>2015-07-03T15:54:51+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1543600752452807_691060451040179</td>\n",
       "      <td>post_1543600752452807_691060451040179</td>\n",
       "      <td>post</td>\n",
       "      <td>2015-04-28T02:22:43+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/1041663...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1543600752452807_351344755011752</td>\n",
       "      <td>post_1543600752452807_351344755011752</td>\n",
       "      <td>post</td>\n",
       "      <td>2013-10-12T04:55:09+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t31.0-8/s720x7...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1543600752452807_345397295606498</td>\n",
       "      <td>post_1543600752452807_345397295606498</td>\n",
       "      <td>post</td>\n",
       "      <td>2013-09-30T01:49:24+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/376245_...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1543600752452807_232348806911348</td>\n",
       "      <td>post_1543600752452807_232348806911348</td>\n",
       "      <td>post</td>\n",
       "      <td>2013-03-19T10:35:57+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>Happy Snow Day</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1543600752452807_217777561701806</td>\n",
       "      <td>post_1543600752452807_217777561701806</td>\n",
       "      <td>post</td>\n",
       "      <td>2013-02-26T03:07:03+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>LEGO HAHA! :D</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-0/p480x48...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1543600752452807_143760355770194</td>\n",
       "      <td>post_1543600752452807_143760355770194</td>\n",
       "      <td>post</td>\n",
       "      <td>2012-09-27T23:23:49+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/s720x72...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1543600752452807_119771674835729</td>\n",
       "      <td>post_1543600752452807_119771674835729</td>\n",
       "      <td>post</td>\n",
       "      <td>2012-08-07T03:07:35+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/376245_...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1543600752452807_106258409520389</td>\n",
       "      <td>post_1543600752452807_106258409520389</td>\n",
       "      <td>post</td>\n",
       "      <td>2012-07-18T23:33:54+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/484022_...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1543600752452807_106258229520407</td>\n",
       "      <td>post_1543600752452807_106258229520407</td>\n",
       "      <td>post</td>\n",
       "      <td>2012-07-18T23:33:37+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>https://scontent.xx.fbcdn.net/v/t1.0-9/599659_...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1543600752452807_539172626228963</td>\n",
       "      <td>post_1543600752452807_539172626228963</td>\n",
       "      <td>post</td>\n",
       "      <td>1996-02-24T08:00:00+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Born on February 24, 1996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Id                                   Label  \\\n",
       "0   1543600752452807_1367868580026026  post_1543600752452807_1367868580026026   \n",
       "1   1543600752452807_1367858486693702  post_1543600752452807_1367858486693702   \n",
       "2   1543600752452807_1367858056693745  post_1543600752452807_1367858056693745   \n",
       "3    1543600752452807_731749853637905   post_1543600752452807_731749853637905   \n",
       "4    1543600752452807_776344222511801   post_1543600752452807_776344222511801   \n",
       "5    1543600752452807_729922700487287   post_1543600752452807_729922700487287   \n",
       "6    1543600752452807_691060451040179   post_1543600752452807_691060451040179   \n",
       "7    1543600752452807_351344755011752   post_1543600752452807_351344755011752   \n",
       "8    1543600752452807_345397295606498   post_1543600752452807_345397295606498   \n",
       "9    1543600752452807_232348806911348   post_1543600752452807_232348806911348   \n",
       "10   1543600752452807_217777561701806   post_1543600752452807_217777561701806   \n",
       "11   1543600752452807_143760355770194   post_1543600752452807_143760355770194   \n",
       "12   1543600752452807_119771674835729   post_1543600752452807_119771674835729   \n",
       "13   1543600752452807_106258409520389   post_1543600752452807_106258409520389   \n",
       "14   1543600752452807_106258229520407   post_1543600752452807_106258229520407   \n",
       "15   1543600752452807_539172626228963   post_1543600752452807_539172626228963   \n",
       "\n",
       "   label_attribute              created_time        creator_id  \\\n",
       "0             post  2018-03-01T08:21:18+0000  1543600752452807   \n",
       "1             post  2018-03-01T07:55:22+0000  1543600752452807   \n",
       "2             post  2018-03-01T07:54:05+0000  1543600752452807   \n",
       "3             post  2016-02-11T22:04:03+0000  1543600752452807   \n",
       "4             post  2015-09-30T01:50:06+0000  1543600752452807   \n",
       "5             post  2015-07-03T15:54:51+0000  1543600752452807   \n",
       "6             post  2015-04-28T02:22:43+0000  1543600752452807   \n",
       "7             post  2013-10-12T04:55:09+0000  1543600752452807   \n",
       "8             post  2013-09-30T01:49:24+0000  1543600752452807   \n",
       "9             post  2013-03-19T10:35:57+0000  1543600752452807   \n",
       "10            post  2013-02-26T03:07:03+0000  1543600752452807   \n",
       "11            post  2012-09-27T23:23:49+0000  1543600752452807   \n",
       "12            post  2012-08-07T03:07:35+0000  1543600752452807   \n",
       "13            post  2012-07-18T23:33:54+0000  1543600752452807   \n",
       "14            post  2012-07-18T23:33:37+0000  1543600752452807   \n",
       "15            post  1996-02-24T08:00:00+0000  1543600752452807   \n",
       "\n",
       "           message                                            picture  \\\n",
       "0             None  https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...   \n",
       "1             None  https://scontent.xx.fbcdn.net/v/t1.0-0/p480x48...   \n",
       "2             None  https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...   \n",
       "3             None  https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...   \n",
       "4             None  https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...   \n",
       "5             None  https://scontent.xx.fbcdn.net/v/t1.0-9/p720x72...   \n",
       "6             None  https://scontent.xx.fbcdn.net/v/t1.0-9/1041663...   \n",
       "7             None  https://scontent.xx.fbcdn.net/v/t31.0-8/s720x7...   \n",
       "8             None  https://scontent.xx.fbcdn.net/v/t1.0-9/376245_...   \n",
       "9   Happy Snow Day                                               None   \n",
       "10   LEGO HAHA! :D  https://scontent.xx.fbcdn.net/v/t1.0-0/p480x48...   \n",
       "11            None  https://scontent.xx.fbcdn.net/v/t1.0-9/s720x72...   \n",
       "12            None  https://scontent.xx.fbcdn.net/v/t1.0-9/376245_...   \n",
       "13            None  https://scontent.xx.fbcdn.net/v/t1.0-9/484022_...   \n",
       "14            None  https://scontent.xx.fbcdn.net/v/t1.0-9/599659_...   \n",
       "15            None                                               None   \n",
       "\n",
       "                      caption  \n",
       "0                        None  \n",
       "1                        None  \n",
       "2                        None  \n",
       "3                        None  \n",
       "4                        None  \n",
       "5                        None  \n",
       "6                        None  \n",
       "7                        None  \n",
       "8                        None  \n",
       "9                        None  \n",
       "10                       None  \n",
       "11                       None  \n",
       "12                       None  \n",
       "13                       None  \n",
       "14                       None  \n",
       "15  Born on February 24, 1996  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the results\n",
    "nodes[\"post\"].head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                                  1543600752452807_217777561701806\n",
       "Label                          post_1543600752452807_217777561701806\n",
       "label_attribute                                                 post\n",
       "created_time                                2013-02-26T03:07:03+0000\n",
       "creator_id                                          1543600752452807\n",
       "message                                                LEGO HAHA! :D\n",
       "picture            https://scontent.xx.fbcdn.net/v/t1.0-0/p480x48...\n",
       "caption                                                         None\n",
       "Name: 10, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the attributes of this node\n",
    "nodes[\"post\"].iloc[10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find user's liked page by id\n",
    "### def fetch_facebook_user_liked_pages(graph, id, limit=20)\n",
    "Optional parameters:\n",
    "- limit is the number of posts returned.\n",
    "\n",
    "Types of node returned:\n",
    "- user\n",
    "- community\n",
    "\n",
    "Types of edge returned: \n",
    "-  LIKED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Facebook GraphiPy also supports the ability to get liked community of an user\n",
    "user_liked_graph = graphipy.create_graph(\"pandas\")\n",
    "facebook.fetch_facebook_user_liked_pages(user_liked_graph,facebook_api_credentials['id'])\n",
    "nodes = user_liked_graph.get_nodes()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
       "      <th>about</th>\n",
       "      <th>description</th>\n",
       "      <th>category</th>\n",
       "      <th>website</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>209667505872982</td>\n",
       "      <td>USC ACM - Association for Computing Machinery</td>\n",
       "      <td>community</td>\n",
       "      <td>The USC chapter of ACM is actively involved in...</td>\n",
       "      <td>The Association for Computing Machinery is a w...</td>\n",
       "      <td>Education</td>\n",
       "      <td>http://www.uscacm.org</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1856702814583128</td>\n",
       "      <td>Ray Allen</td>\n",
       "      <td>community</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Athlete</td>\n",
       "      <td>www.ray34.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>124984464200434</td>\n",
       "      <td>USC Trojans</td>\n",
       "      <td>community</td>\n",
       "      <td>The Official Page of USC Athletics and Trojan ...</td>\n",
       "      <td>None</td>\n",
       "      <td>School Sports Team</td>\n",
       "      <td>http://www.usctrojans.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>45313835647</td>\n",
       "      <td>USC Viterbi School of Engineering</td>\n",
       "      <td>community</td>\n",
       "      <td>The USC Viterbi School of Engineering is ranke...</td>\n",
       "      <td>None</td>\n",
       "      <td>College &amp; University</td>\n",
       "      <td>http://viterbi.usc.edu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1272480059489124</td>\n",
       "      <td>Goodful</td>\n",
       "      <td>community</td>\n",
       "      <td>Live well without obsessing about wellness.</td>\n",
       "      <td>Recipes, fitness, DIY, and self-care routines ...</td>\n",
       "      <td>Media/News Company</td>\n",
       "      <td>https://www.buzzfeed.com/goodful?utm_term=.ekA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1614251518827491</td>\n",
       "      <td>Tasty</td>\n",
       "      <td>community</td>\n",
       "      <td>Food that'll make you close your eyes, lean ba...</td>\n",
       "      <td>Pinterest: http://bit.ly/tastypinss\\nInstagram...</td>\n",
       "      <td>Media/News Company</td>\n",
       "      <td>https://tasty.co/</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1745409155702358</td>\n",
       "      <td>Sustainable Cities Research Group UCONN</td>\n",
       "      <td>community</td>\n",
       "      <td>Dedicated to interdisciplinary, use-inspired r...</td>\n",
       "      <td>The Sustainable Cities Research Group at UCONN...</td>\n",
       "      <td>Educational Research Center</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>134972803193847</td>\n",
       "      <td>University of Southern California</td>\n",
       "      <td>community</td>\n",
       "      <td>The official page of the University of Souther...</td>\n",
       "      <td>The University of Southern California is one o...</td>\n",
       "      <td>School</td>\n",
       "      <td>http://www.usc.edu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>519355568130521</td>\n",
       "      <td>ClutchPoints</td>\n",
       "      <td>community</td>\n",
       "      <td>ClutchPoints is a mobile app to follow sports ...</td>\n",
       "      <td>ClutchPoints is one of the fastest growing soc...</td>\n",
       "      <td>Media</td>\n",
       "      <td>http://ClutchPoints.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1407167032831912</td>\n",
       "      <td>Piques</td>\n",
       "      <td>community</td>\n",
       "      <td>Business: jonpaulpiques@gmail.com\\n\\nInstagram...</td>\n",
       "      <td>None</td>\n",
       "      <td>Comedian</td>\n",
       "      <td>instagram.com/piques</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>498505146890911</td>\n",
       "      <td>Eh Bee Family</td>\n",
       "      <td>community</td>\n",
       "      <td>We like to have as much fun as possible as a f...</td>\n",
       "      <td>None</td>\n",
       "      <td>Entertainment Website</td>\n",
       "      <td>http://www.EhBeeFamily.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>475313525851331</td>\n",
       "      <td>鬧一波大師</td>\n",
       "      <td>community</td>\n",
       "      <td>相關合作聯絡方式：\\n時娛樂 經紀人 隆隆\\nEmail：henryfangg@gmail....</td>\n",
       "      <td>人生就是一場鬧一波劇\\n諧音無厘頭動畫/圖文、各種鬧劇小天地\\n準備浪費您的生命秒數( ͡°...</td>\n",
       "      <td>Producer</td>\n",
       "      <td>https://www.instagram.com/nowepo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>100344450058745</td>\n",
       "      <td>Amanda Cerny</td>\n",
       "      <td>community</td>\n",
       "      <td>Thank you For all the love and support! xoxo -...</td>\n",
       "      <td>None</td>\n",
       "      <td>Artist</td>\n",
       "      <td>http://www.amandacerny.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>106876872711112</td>\n",
       "      <td>Dota 2</td>\n",
       "      <td>community</td>\n",
       "      <td>Dota is a competitive game of action and strat...</td>\n",
       "      <td>None</td>\n",
       "      <td>Games/Toys</td>\n",
       "      <td>http://blog.dota2.com/</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1423830694520861</td>\n",
       "      <td>Dan Bilzerian</td>\n",
       "      <td>community</td>\n",
       "      <td>Biz contact: Info@danbilzerian.com\\nSnap: dbil...</td>\n",
       "      <td>None</td>\n",
       "      <td>Public Figure</td>\n",
       "      <td>http://www.ignitecbd.co</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1620123334882451</td>\n",
       "      <td>Anne Hathaway</td>\n",
       "      <td>community</td>\n",
       "      <td>NY is my city. LA is my town.</td>\n",
       "      <td>None</td>\n",
       "      <td>Artist</td>\n",
       "      <td>https://www.instagram.com/annehathaway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>25781101980</td>\n",
       "      <td>San Antonio Spurs</td>\n",
       "      <td>community</td>\n",
       "      <td>Team Basketball. 5x NBA Champions. #GoSpursGo</td>\n",
       "      <td>None</td>\n",
       "      <td>Sports Team</td>\n",
       "      <td>http://spurs.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>183891904993647</td>\n",
       "      <td>Klay Thompson</td>\n",
       "      <td>community</td>\n",
       "      <td>The OFFICIAL FAN PAGE OF KLAY THOMPSON</td>\n",
       "      <td>None</td>\n",
       "      <td>Athlete</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1456505354584068</td>\n",
       "      <td>Jeremy Lin 林書豪</td>\n",
       "      <td>community</td>\n",
       "      <td>The official Facebook page of Jeremy Lin, NBA ...</td>\n",
       "      <td>None</td>\n",
       "      <td>Athlete</td>\n",
       "      <td>http://www.jlin7.com/</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>102099916530784</td>\n",
       "      <td>Humans of New York</td>\n",
       "      <td>community</td>\n",
       "      <td>New York City, one story at a time.</td>\n",
       "      <td>Humans of New York began as a photography proj...</td>\n",
       "      <td>Arts &amp; Humanities Website</td>\n",
       "      <td>www.humansofnewyork.com</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Id                                          Label  \\\n",
       "0    209667505872982  USC ACM - Association for Computing Machinery   \n",
       "1   1856702814583128                                      Ray Allen   \n",
       "2    124984464200434                                    USC Trojans   \n",
       "3        45313835647              USC Viterbi School of Engineering   \n",
       "4   1272480059489124                                        Goodful   \n",
       "5   1614251518827491                                          Tasty   \n",
       "6   1745409155702358        Sustainable Cities Research Group UCONN   \n",
       "7    134972803193847              University of Southern California   \n",
       "8    519355568130521                                   ClutchPoints   \n",
       "9   1407167032831912                                         Piques   \n",
       "10   498505146890911                                  Eh Bee Family   \n",
       "11   475313525851331                                          鬧一波大師   \n",
       "12   100344450058745                                   Amanda Cerny   \n",
       "13   106876872711112                                         Dota 2   \n",
       "14  1423830694520861                                  Dan Bilzerian   \n",
       "15  1620123334882451                                  Anne Hathaway   \n",
       "16       25781101980                              San Antonio Spurs   \n",
       "17   183891904993647                                  Klay Thompson   \n",
       "18  1456505354584068                                 Jeremy Lin 林書豪   \n",
       "19   102099916530784                             Humans of New York   \n",
       "\n",
       "   label_attribute                                              about  \\\n",
       "0        community  The USC chapter of ACM is actively involved in...   \n",
       "1        community                                               None   \n",
       "2        community  The Official Page of USC Athletics and Trojan ...   \n",
       "3        community  The USC Viterbi School of Engineering is ranke...   \n",
       "4        community        Live well without obsessing about wellness.   \n",
       "5        community  Food that'll make you close your eyes, lean ba...   \n",
       "6        community  Dedicated to interdisciplinary, use-inspired r...   \n",
       "7        community  The official page of the University of Souther...   \n",
       "8        community  ClutchPoints is a mobile app to follow sports ...   \n",
       "9        community  Business: jonpaulpiques@gmail.com\\n\\nInstagram...   \n",
       "10       community  We like to have as much fun as possible as a f...   \n",
       "11       community  相關合作聯絡方式：\\n時娛樂 經紀人 隆隆\\nEmail：henryfangg@gmail....   \n",
       "12       community  Thank you For all the love and support! xoxo -...   \n",
       "13       community  Dota is a competitive game of action and strat...   \n",
       "14       community  Biz contact: Info@danbilzerian.com\\nSnap: dbil...   \n",
       "15       community                      NY is my city. LA is my town.   \n",
       "16       community      Team Basketball. 5x NBA Champions. #GoSpursGo   \n",
       "17       community             The OFFICIAL FAN PAGE OF KLAY THOMPSON   \n",
       "18       community  The official Facebook page of Jeremy Lin, NBA ...   \n",
       "19       community               New York City, one story at a time.    \n",
       "\n",
       "                                          description  \\\n",
       "0   The Association for Computing Machinery is a w...   \n",
       "1                                                None   \n",
       "2                                                None   \n",
       "3                                                None   \n",
       "4   Recipes, fitness, DIY, and self-care routines ...   \n",
       "5   Pinterest: http://bit.ly/tastypinss\\nInstagram...   \n",
       "6   The Sustainable Cities Research Group at UCONN...   \n",
       "7   The University of Southern California is one o...   \n",
       "8   ClutchPoints is one of the fastest growing soc...   \n",
       "9                                                None   \n",
       "10                                               None   \n",
       "11  人生就是一場鬧一波劇\\n諧音無厘頭動畫/圖文、各種鬧劇小天地\\n準備浪費您的生命秒數( ͡°...   \n",
       "12                                               None   \n",
       "13                                               None   \n",
       "14                                               None   \n",
       "15                                               None   \n",
       "16                                               None   \n",
       "17                                               None   \n",
       "18                                               None   \n",
       "19  Humans of New York began as a photography proj...   \n",
       "\n",
       "                       category  \\\n",
       "0                     Education   \n",
       "1                       Athlete   \n",
       "2            School Sports Team   \n",
       "3          College & University   \n",
       "4            Media/News Company   \n",
       "5            Media/News Company   \n",
       "6   Educational Research Center   \n",
       "7                        School   \n",
       "8                         Media   \n",
       "9                      Comedian   \n",
       "10        Entertainment Website   \n",
       "11                     Producer   \n",
       "12                       Artist   \n",
       "13                   Games/Toys   \n",
       "14                Public Figure   \n",
       "15                       Artist   \n",
       "16                  Sports Team   \n",
       "17                      Athlete   \n",
       "18                      Athlete   \n",
       "19    Arts & Humanities Website   \n",
       "\n",
       "                                              website  \n",
       "0                               http://www.uscacm.org  \n",
       "1                                       www.ray34.com  \n",
       "2                           http://www.usctrojans.com  \n",
       "3                              http://viterbi.usc.edu  \n",
       "4   https://www.buzzfeed.com/goodful?utm_term=.ekA...  \n",
       "5                                   https://tasty.co/  \n",
       "6                                                None  \n",
       "7                                  http://www.usc.edu  \n",
       "8                             http://ClutchPoints.com  \n",
       "9                                instagram.com/piques  \n",
       "10                         http://www.EhBeeFamily.com  \n",
       "11                   https://www.instagram.com/nowepo  \n",
       "12                         http://www.amandacerny.com  \n",
       "13                             http://blog.dota2.com/  \n",
       "14                            http://www.ignitecbd.co  \n",
       "15             https://www.instagram.com/annehathaway  \n",
       "16                                   http://spurs.com  \n",
       "17                                               None  \n",
       "18                              http://www.jlin7.com/  \n",
       "19                            www.humansofnewyork.com  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the results\n",
    "nodes[\"community\"].head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                                                   209667505872982\n",
       "Label                  USC ACM - Association for Computing Machinery\n",
       "label_attribute                                            community\n",
       "about              The USC chapter of ACM is actively involved in...\n",
       "description        The Association for Computing Machinery is a w...\n",
       "category                                                   Education\n",
       "website                                        http://www.uscacm.org\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nodes[\"community\"].iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find post's comments by id\n",
    "### def fetch_facebook_post_comments(graph, id, limit=20)\n",
    "Optional parameters:\n",
    "- limit is the number of posts returned.\n",
    "\n",
    "Types of node returned:\n",
    "- user\n",
    "- post\n",
    "- comment\n",
    "\n",
    "Types of edge returned: \n",
    "-  COMMENTED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Label</th>\n",
       "      <th>label_attribute</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1367868580026026_1367875200025364</td>\n",
       "      <td>1367868580026026_1367875200025364</td>\n",
       "      <td>comment</td>\n",
       "      <td>2018-03-01T08:40:20+0000</td>\n",
       "      <td>1543600752452807</td>\n",
       "      <td>Vincent Wu</td>\n",
       "      <td>cr to Anastasia Lulu Xu lol</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "                                  Id                              Label  \\\n",
       "0  1367868580026026_1367875200025364  1367868580026026_1367875200025364   \n",
       "\n",
       "  label_attribute              created_time        creator_id creator_name  \\\n",
       "0         comment  2018-03-01T08:40:20+0000  1543600752452807   Vincent Wu   \n",
       "\n",
       "                       message  \n",
       "0  cr to Anastasia Lulu Xu lol  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post_comment_graph = graphipy.create_graph(\"pandas\")\n",
    "facebook.fetch_facebook_post_comments(post_comment_graph,'1543600752452807_1367858056693745')\n",
    "nodes = post_comment_graph.get_nodes()\n",
    "nodes[\"comment\"].head(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Export to CSV files\n",
    "#### For more information, see DataExportDemo.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can then export the graph into .csv files\n",
    "# Just call .export_all_csv() on the graph desired\n",
    "csv_name = \"facebook_post\"\n",
    "export_path_all = user_post_graph.export_all_csv(csv_name)\n",
    "\n",
    "# You can also specify the dataframes \"you want to export by using the .export_CSV() function\n",
    "# Provide the label_attributes of the nodes and edges you want to export\n",
    "csv_name = \"facebook_post_specific\"\n",
    "nodes = {\"user\", \"post\"}\n",
    "edges = {\"posted\"}\n",
    "export_path_specific = user_post_graph.export_csv(csv_name, nodes, edges)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization with NetworkX\n",
    "#### For more information, see DataExportDemo.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will visualize user_liked graph\n",
    "from matplotlib import colors as mcolors\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the networkx exporter object\n",
    "exporter = graphipy.get_nx_exporter()\n",
    "nx_graph = exporter.create_from_pd(user_liked_graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # We will visualize user_liked_graph graph\n",
    "# ul_nodes = user_liked_graph.get_nodes()\n",
    "# ul_edges = user_liked_graph.get_edges()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Draw the graph using graphipy\n",
    "color_set = set(mcolors.CSS4_COLORS)\n",
    "options = {\n",
    "    \"node_label\": \"Label\",\n",
    "    \"colorful_edges\": True,\n",
    "    \"color_set\": color_set\n",
    "}\n",
    "legend = exporter.draw_random(nx_graph, options=options, legend=plt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}